PHIS, a plant science ontology-driven Phenotyping Hybrid Information System - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Poster Year : 2018

PHIS, a plant science ontology-driven Phenotyping Hybrid Information System

Romain Chapuis
Cyril Pommier

Abstract

Plant phenomics datasets are unprecedented resources for identifying and testing novel mechanisms and models. These datasets need to be reusable to the scientific community. Their analysis requires the understanding of relevant information on thousands of plants, sensors and events. The open-source Phenotyping Hybrid Information System (PHIS) is proposed for the smart management of plant phenotyping experimental data. It allows the unambiguous identification and management of all agronomical objects and traits in an experiment and establishes their relations thanks to semantics resources such as reference ontologies. PHIS deals with various experimental context, e.g. field and greenhouse conditions.

Domains

Vegetal Biology
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Dates and versions

hal-02788853 , version 1 (05-06-2020)

Licence

Attribution - NonCommercial - ShareAlike

Identifiers

  • HAL Id : hal-02788853 , version 1
  • PRODINRA : 462738

Cite

Pascal Neveu, Anne Tireau, Nadine Hilgert, Vincent Negre, Jonathan Mineau-Cesari, et al.. PHIS, a plant science ontology-driven Phenotyping Hybrid Information System. NETTAB 2018: Building a FAIR Bioinformatics environment, Oct 2018, Genova, Italy. , 1 p., 2018. ⟨hal-02788853⟩
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